A firmware management operation. The firmware management operation includes providing an information handling system with a distributed unified BIOS; identifying a processor environment installed on an information handling system from a plurality of processor environments, the processor environment comprising a processor architecture, the information handling system including a graphics processing unit (GPU); and, performing a GPU offload management operation, the GPU offload management operation managing an aspect of offloading a processing operation to the GPU.
Legal claims defining the scope of protection, as filed with the USPTO.
providing an information handling system with a distributed unified BIOS; identifying a processor environment installed on an information handling system from a plurality of processor environments, the processor environment comprising a processor architecture, the information handling system including a graphics processing unit (GPU); and, performing a GPU offload management operation, the GPU offload management operation managing an aspect of offloading a processing operation to the GPU. . A computer-implementable method for performing a firmware management operation, comprising:
claim 1 the GPU offload management operation includes performing a firmware virtual interpolation operation, the firmware virtual interpolation operation detecting signal types in a boot path and dynamically generating an array of CPU-offloaded virtual ports. . The method of, wherein:
claim 1 the GPU offload management operation uses a CPU offload model, the CPU offload model learning offloading of operations from a CPU to the GPU. . The method of, wherein:
claim 3 the CPU offload model learns from forward propagation and backward propagation of operations between a device input module and a device output module. . The method of, wherein:
claim 4 a forward propagation value is calculated by application of per-layer weights to generate a weighted output value ‘Y’ from a device input value ‘X’ corresponding to port object interface layer. . The method of, wherein:
claim 4 a backward propagation value is calculated by the application of per-layer derivative of weights to generate a weighted derivative input value ‘dX’ from a weighted derivative output value ‘dY’ corresponding to a port object interface layer. . The method of, wherein:
a processor; a data bus coupled to the processor; and providing an information handling system with a distributed unified BIOS; identifying a processor environment installed on an information handling system from a plurality of processor environments, the processor environment comprising a processor architecture, the information handling system including a graphics processing unit (GPU); and, performing a GPU offload management operation, the GPU offload management operation managing an aspect of offloading a processing operation to the GPU. a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: . A system comprising:
claim 7 the GPU offload management operation includes performing a firmware virtual interpolation operation, the firmware virtual interpolation operation detecting signal types in a boot path and dynamically generating an array of CPU-offloaded virtual ports. . The system of, wherein:
claim 7 the GPU offload management operation uses a CPU offload model, the CPU offload model learning offloading of operations from a CPU to the GPU. . The system of, wherein:
claim 9 the CPU offload model learns from forward propagation and backward propagation of operations between a device input module and a device output module. . The system of, wherein:
claim 10 a forward propagation value is calculated by application of per-layer weights to generate a weighted output value ‘Y’ from a device input value ‘X’ corresponding to port object interface layer. . The system of, wherein:
claim 10 a backward propagation value is calculated by the application of per-layer derivative of weights to generate a weighted derivative input value ‘dX’ from a weighted derivative output value ‘dY’ corresponding to a port object interface layer. . The system of, wherein:
providing an information handling system with a distributed unified BIOS; identifying a processor environment installed on an information handling system from a plurality of processor environments, the processor environment comprising a processor architecture, the information handling system including a graphics processing unit (GPU); and, performing a GPU offload management operation, the GPU offload management operation managing an aspect of offloading a processing operation to the GPU. . A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
claim 13 the GPU offload management operation includes performing a firmware virtual interpolation operation, the firmware virtual interpolation operation detecting signal types in a boot path and dynamically generating an array of CPU-offloaded virtual ports. . The non-transitory, computer-readable storage medium of, wherein:
claim 13 the GPU offload management operation uses a CPU offload model, the CPU offload model learning offloading of operations from a CPU to the GPU. . The non-transitory, computer-readable storage medium of, wherein:
claim 15 the CPU offload model learns from forward propagation and backward propagation of operations between a device input module and a device output module. . The non-transitory, computer-readable storage medium of, wherein:
claim 16 a forward propagation value is calculated by application of per-layer weights to generate a weighted output value ‘Y’ from a device input value ‘X’ corresponding to port object interface layer. . The non-transitory, computer-readable storage medium of, wherein:
claim 16 a backward propagation value is calculated by the application of per-layer derivative of weights to generate a weighted derivative input value ‘dX’ from a weighted derivative output value ‘dY’ corresponding to a port object interface layer. . The non-transitory, computer-readable storage medium of, wherein:
claim 13 the computer executable instructions are deployable to a client system from a server system at a remote location. . The non-transitory, computer-readable storage medium of, wherein:
claim 13 the computer executable instructions are provided by a service provider to a user on an on-demand basis. . The non-transitory, computer-readable storage medium of, wherein:
Complete technical specification and implementation details from the patent document.
The present invention relates to information handling systems. More specifically, embodiments of the invention relate to performing a firmware management operation.
As the value and use of information continues to increase, individuals and businesses seek additional ways to process and store information. One option available to users is information handling systems. An information handling system generally processes, compiles, stores, and/or communicates information or data for business, personal, or other purposes thereby allowing users to take advantage of the value of the information. Because technology and information handling needs and requirements vary between different users or applications, information handling systems may also vary regarding what information is handled, how the information is handled, how much information is processed, stored, or communicated, and how quickly and efficiently the information may be processed, stored, or communicated. The variations in information handling systems allow for information handling systems to be general or configured for a specific user or specific use such as financial transaction processing, airline reservations, enterprise data storage, or global communications. In addition, information handling systems may include a variety of hardware and software components that may be configured to process, store, and communicate information and may include one or more computer systems, data storage systems, and networking systems.
In one embodiment the invention relates to a computer-implementable method for performing a firmware management operation, comprising: providing an information handling system with a distributed unified BIOS; identifying a processor environment installed on an information handling system from a plurality of processor environments, the processor environment comprising a processor architecture, the information handling system including a graphics processing unit (GPU); and, performing a GPU offload management operation, the GPU offload management operation managing an aspect of offloading a processing operation to the GPU.
In another embodiment the invention relates to a system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: providing an information handling system with a distributed unified BIOS; identifying a processor environment installed on an information handling system from a plurality of processor environments, the processor environment comprising a processor architecture, the information handling system including a graphics processing unit (GPU); and, performing a GPU offload management operation, the GPU offload management operation managing an aspect of offloading a processing operation to the GPU.
In another embodiment the invention relates to a computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for: providing an information handling system with a distributed unified BIOS; identifying a processor environment installed on an information handling system from a plurality of processor environments, the processor environment comprising a processor architecture, the information handling system including a graphics processing unit (GPU); and, performing a GPU offload management operation, the GPU offload management operation managing an aspect of offloading a processing operation to the GPU.
A system, method, and computer-readable medium are disclosed for performing a firmware management operation, described in greater detail herein. Various aspects of the invention reflect an appreciation that it is not uncommon for certain firmware components of a Basic Input/Output System (BIOS) associated with an information handling system (IHS) to be added, deleted, updated, revised, replaced, or restored over time. Likewise, various aspects of the invention reflect an appreciation that such BIOS firmware components are often added, deleted, updated, revised, replaced, or restored to provide security updates, fix known software bugs, improve performance, add new features and functionalities, and so forth.
Various aspects of the invention reflect an appreciation that optimizing power management of Universal Serial Bus (USB) Type-C ports is not only about adhering to stringent power delivery negotiations but also about innovative methods to distribute workloads efficiently. Likewise, various aspects of the invention reflect an appreciation that USB workload processing has traditionally been highly Central Processing Unit (CPU) centric, which often leads to increased power consumption and potential performance bottlenecks during intensive CPU states. Various aspects of the invention likewise reflect an appreciation that it may be advantageous to use a novel learning approach to understand the context of a USB workload and under certain circumstances, offload it from the CPU to a Graphics Processing Unit (GPU), Neural Processing Unit (NPU), or Accelerated Processing Unit (APU).
By doing so, power efficiency may be significantly enhanced, and device operations remain uninterrupted, even during CPU busy states. More specifically, the parallel processing capabilities a GPU, NPU, or APU, allow it to handle USB tasks more efficiently, thereby reducing power usage and ensuring USB function availability during an IHS's boot phase.
Various aspects of the invention reflect an appreciation that third party vendor firmware for USB-C systems is typically tightly coupled with silicon code from CPU vendors for enumeration in boot path and functional support. Due to this vendor code interdependency, USB enumerations for some device types may fail and USB power rail division may become inefficient for parallel workloads. Likewise, various aspects of the invention reflect an appreciation that such vendor code interdependency may result in USB audio/video (AV) offload playback experiencing intermittent glitches, resulting in an erratic AV experience during CPU busy states. Various aspects of the invention likewise reflect an appreciation that such issues are typically more related to USB devices that are offloading AV stream playback and typically do not occur with non-offload streams, even when the CPU is under heavy load.
Various aspects of the invention reflect an appreciation that unsynchronized Memory-Mapped Input/Output (MMIO) regions across BIOS and embedded controller (EC), as it relates to USB-C allocations and static video buffer (V-buffer), may result in audio distortion, glitches, system hang, and crashes during online streaming content playback. Likewise, various aspects of the invention reflect an appreciation that enabling secure biometrics and USB audio offload features in the BIOS of a Windows®-based system may result in issues with the eXtensible Host Controller Interface (XHCI) when entering the IHS's operating system (OS) and a device is missing, which may result in requiring multiple reboots to restore USB secure audio functions.
Various embodiments of the invention likewise reflect an appreciation that disabling USB AV offload may cause additional system power consumption (e.g., ~1200 mW) when AV playback is captured on a USB endpoint connected to the root port. Various aspects of the invention reflect an appreciation that audio offloading to an Audio Digital Signal Processor (ADSP) is known, but additional hardware is required for such approaches. Likewise, various aspects of the invention reflect an appreciation that no current approach exists to enable seamless CPU offload with power efficient and uninterrupted services.
For purposes of this disclosure, an information handling system (IHS) may include any instrumentality or aggregate of instrumentalities operable to compute, classify, process, transmit, receive, retrieve, originate, switch, store, display, manifest, detect, record, reproduce, handle, or utilize any form of information, intelligence, or data for business, scientific, control, or other purposes. For example, an information handling system may be a personal computer, a network storage device, or any other suitable device and may vary in size, shape, performance, functionality, and price. The information handling system may include random access memory (RAM), one or more processing resources such as a central processing unit (CPU) or hardware or software control logic, read-only memory (ROM), and/or other types of nonvolatile memory. Additional components of the information handling system may include one or more disk drives, one or more network ports for communicating with external devices as well as various input and output (I/O) devices, such as a keyboard, a mouse, and a video display. The information handling system may also include one or more buses operable to transmit communications between the various hardware components.
1 FIG. 100 102 104 106 108 100 110 140 142 100 112 114 is a generalized illustration of an information handling system that can be used to implement the system and method of the present invention. In certain embodiments, the information handling system (IHS)may be implemented to include a processor (e.g., central processing unit or “CPU”), various input/output (I/O) devices, such as a display, a keyboard, a mouse, a touchpad, or a touchscreen, and associated controllers, a hard drive or disk storage, and various other subsystems. In various embodiments, the IHSmay also be implemented to include a network portoperable to connect to a network, which in turn may be implemented to provide access to a service provider server. In various embodiments, the IHSmay likewise be implemented to include system memory, which is interconnected to the foregoing via one or more buses.
112 102 112 112 In various embodiments, system memorymay be configured to store program code, or data, or both, which in turn may be implemented to be accessible and executable by the CPU. In various embodiments, system memorymay be implemented using any suitable memory technology. Examples of such memory technology include random access memory (RAM), static RAM (SRAM), dynamic RAM (DRAM), synchronous dynamic RAM (SDRAM), non-volatile RAM (NVRAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), electrically erasable programmable ROM (EEPROM), complementary metal-oxide-semiconductor (CMOS) memory, flash memory, or any other type of computer memory, whether it may be volatile or non-volatile. In various embodiments, system memorymay include one or more dual in-line memory modules (DIMMs), each containing one or more RAM modules mounted onto an integrated circuit board.
112 116 118 116 118 100 100 116 100 In various embodiments the system memorymay further be implemented to include a Basic Input/Output System (BIOS), or an operating system (OS), or both. Skilled practitioners of the art will be aware that BIOS, also known as System BIOS, ROM BIOS, or personal computer (PC) BIOS, is a type of firmware used to provide runtime services for an OSto perform hardware initialization during the booting process of an IHS. Those of skill in the art will likewise be aware that firmware is a combination of persistent memory, program code, and data that provides low-level control of an IHS'shardware. In various embodiments, the BIOSmay be implemented to initialize and test certain hardware components of its associated IHSduring the booting process (e.g., Power-On Self-Test, or “POST”), followed by loading a boot loader from a particular mass storage device, which in turn may then be used to initialize a kernel.
116 118 116 100 118 100 In various embodiments, such BIOSfirmware may be implemented to provide hardware abstraction services to higher-level software such as an OS. In various embodiments, BIOSfirmware may be implemented in a less complex IHSas an OS, performing all control, monitoring, and data manipulation functions. In various embodiments, certain components of a particular IHSmay be implemented to have its own firmware, which may store operational variables, data structures, or in general, any sort of information.
116 100 100 In various embodiments, NVRAM may be implemented to store a BIOSassociated with the IHS. In various embodiments, the NVRAM may also be implemented to hold the initial processor instructions required to bootstrap the IHS, store calibration constants, passwords, or setup information, or a combination thereof. In various embodiments, such setup information may be stored as variables in the NVRAM such that the variables are available during system boot from a power-off state. Various embodiments of the invention reflect an appreciation that such variables may need to be modified, revised, updated, restored, or replaced from time to time if they become corrupted. In various embodiments, an NVRAM driver may be implemented to use NVRAM headers to initialize and enable read/write services for updating or restoring such variables. Accordingly, as it relates to various embodiments of the invention, the terms “firmware,” “NVRAM,” or “BIOS” may be used generically and interchangeably.
116 100 118 116 100 100 In various embodiments, the functionality of a BIOSmay be implemented according to the Unified Extensible Firmware Interface (UEFI) specification, which describes how an IHS'sfirmware interacts with a particular OS. Various embodiments of the invention reflect an appreciation that UEFI, as typically implemented, may offer certain features and benefits that are not available from traditional BIOSimplementations, such as faster boot times, improved security, support for larger storage devices, and higher definition graphical user interfaces (GUIs). In addition, UEFI stores all data related to the IHS'sinitialization and startup within an .efi file, rather than on its associated firmware. In typical implementations, the .efi file may be stored on a special memory partition known as an EFI System Partition (ESP), which also contains the IHS'sbootloader.
116 116 116 116 116 116 116 116 116 116 116 116 116 116 In various embodiments, BIOSmay be instantiated as a distributed BIOS. As used herein, a distributed BIOSbroadly refers to a BIOSthat includes a plurality of BIOScomponents, or a plurality of BIOSvariables, or a plurality of BIOSstorage locations, or a combination thereof. In various embodiments, the distributed BIOSmay be implemented to function with any of a plurality of processor environments, described in greater detail herein. In certain embodiments, the distributed BIOSmay be implemented as a distributed unified BIOS. As used herein, a distributed unified BIOSbroadly refers to a BIOSthat includes a plurality of BIOScomponents, or a plurality of BIOSvariables, or a plurality of BIOSstorage locations, or a combination thereof, which are implemented to function with any of a plurality of processor environments, described in greater detail herein.
100 116 116 112 100 In various embodiments, the IHSmay be implemented to perform a firmware management operation. As used herein, a firmware management operation broadly refers to any task, function, operation, procedure, or process performed, directly or indirectly, to store, retrieve, aggregate, disaggregate, add, delete, modify, revise, update, replace, or restore one or more individual BIOScomponents, described in greater detail herein, or one or more individual BIOSvariables, likewise described in greater detail herein, or a combination thereof, in one or more memorylocations associated with a particular IHS. In various embodiments, the firmware management operation may be implemented to include the performance of a Central Processing Unit (CPU) offload management operation.
102 100 100 A CPU offload management (COM) operation, as used herein, broadly refers to any function, task, procedure, or process performed, directly or indirectly, within a multi-processor operating environment, or an architecture-specific distributed firmware management platform (ASDFMP), both of which are described in greater detail herein, to manage one or more aspects of offloading certain processing operations performed by a CPUto an associated Graphics Processing Unit (GPU) Neural Processing Unit (NPU), or Accelerated Processing Unit (APU), or a combination thereof, to facilitate the provision of one or more Uniform Serial Bus Type C (USB-C) port functionalities. In certain embodiments, the firmware management operation may be performed during operation of an IHS. In various embodiments, performance of the firmware management operation may result in the realization of improved operation of an IHS.
2 FIG. 2 FIG. 200 202 200 200 shows a simplified block diagram of multi-processor operating environment implemented in accordance with an embodiment of the invention. As used herein, a multi-processor operating environment, such as that shown in, broadly refers to any instrumentality, or aggregate of instrumentalities, that may be implemented to compute, classify, process, transmit, receive, retrieve, originate, switch, store, display, manifest, detect, record, reproduce, handle, or utilize, or a combination thereof, any form of information, intelligence, or data for business, scientific, control, entertainment, or other purpose, through the use of a particular processor environment (PE). For example, the multi-processor environmentmay be implemented as an information handling system (IHS), described in greater detail herein, such as a personal computer, a laptop computer, a smart phone, a tablet computer or other consumer electronic device, a network server, a network storage device, or other network communication device, and so forth. In various embodiments, a multi-processor operating environmentmay be implemented to include processing resources for executing machine-executable code, such as a central processing unit (CPU), a programmable logic array (PLA), an embedded device such as a System-on-a-Chip (SoC), or other control logic hardware.
200 202 202 204 206 208 206 208 202 204 206 208 In various embodiments, the multi-processor operating environmentmay be implemented to include a PE. In various embodiments, the PEmay be implemented to include a chipsetand one or more processors ‘1’through ‘n’. In various embodiments, the processors ‘1’through ‘n’implemented within a PEmay have the same, or different, architectures. In various embodiments, a chipsetmay be implemented to support one or more architectures corresponding to the processors ‘1’through ‘n’. In various embodiments, the one or more architectures can include an x86 type processor architecture, an Advanced Reduced Instruction Set Computer (RISC) Machines (ARM) type processor architecture, or a combination thereof. In various embodiments, a processor environment implementing an x86 type processor architecture provides an x86 type processor environment. In various embodiments, a processor environment implementing an ARM type processor architecture provides an ARM type processor environment.
206 208 202 206 208 As an example, processors ‘1’through ‘n’of a particular PEmay be implemented to be the same in a server. In this example, each processor may be assigned to be a resource to one or more virtual machines (VMs). As another example, processor ‘1’may be implemented as a multi-core processor in a graphics work station, while processor ‘n’may be implemented a Graphics Processing Unit (GPU), familiar to skilled practitioners of the art.
206 208 202 118 206 208 202 118 206 208 In various embodiments, each of the processors ‘1’through ‘n’of a particular PEmay be implemented to run the same OS. Likewise, individual processors ‘1’through ‘n’of a particular PEmay be implemented in various embodiments to run a different same OS. For example, processor ‘1’may be implemented to run Microsoft® Windows®, while processor ‘n’may be implemented to run a version of Linux®.
202 202 200 202 202 202 202 202 In various embodiments, one or more PEsselected from a plurality of PEsmay be implemented within the multi-processor operating environment. In certain of these embodiments, a particular PEselected from a plurality of PEsmay be vendor-specific. In various embodiments, a particular PEselected from a plurality of PEsmay be implemented as a System on a Chip (SoC), familiar to those of skill in the art. In various embodiments, the PEmay be implemented to include a plurality of vendor-specific SoCs provided by different vendors, or different versions of an SoC provided by the same vendor.
200 112 112 118 200 210 260 262 212 236 244 In various embodiments, the multi-processor operating environmentmay likewise be implemented to include system memory. In various embodiments, the system memorymay in turn be implemented to include an operating system (OS). In various embodiments, the multi-processor operating environmentmay be implemented to include an embedded controller (EC), a Trusted Platform Module (TPM), a Platform Controller Hub (PCH), an input/output (I/O) interface, a disk controller, and a graphics interface, or a combination thereof.
200 218 214 222 228 218 218 218 214 In various embodiments, the multi-processor operating environmentmay likewise be implemented to include Nonvolatile Random Access Memory (NVRAM), Serial Peripheral Interface (SPI) Flash memory, Nonvolatile Memory Express (NVMe)memory, and a complementary metal-oxide-semiconductor (CMOS)chip, or a combination thereof. Skilled practitioners of the art will be familiar with NVRAM, which in general usage broadly refers to Random Access Memory (RAM) that retains data if power is lost. In various embodiments, NVRAMmay be implemented to hold initial processor instructions used to bootstrap an information handling system (IHS), described in greater detail herein. In various embodiments, NVRAMmay be implemented in the form of flash memory, such as SPI Flashmemory, Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), or Ferroelectric RAM (F-RAM), Magnetoresistive RAM (MRAM), Phase-Change RAM (PRAM), or a combination thereof.
214 214 214 Those of skill in the art will likewise be familiar with SPI Flashmemory, which is a type of EEPROM memory implemented in accordance with the SPI standard, where the data stored within it is architecturally arranged in blocks. Various embodiments of the invention reflect an appreciation that while data stored within SPI Flash memoryis erased at the block level, it may be read or written at the byte level. Likewise, various embodiments of the invention reflect an appreciation that the ability to erase blocks of data within SPI Flashmemory may be advantageous in certain embodiments as erase speeds can be improved, and as a result, allow information to be stored more efficiently and compactly.
222 Likewise, skilled practitioners of the art will be familiar with NVMe, which is an open, logical device interface specification for accessing non-volatile storage media implemented within an IHS. Certain embodiments of the invention reflect an appreciation that NVMememory is currently available in various form factors, such as solid state drives (SSDs), Peripheral Component Interconnect Express (PCIe) memory cards, and M.2 memory cards. Various embodiments of the invention likewise reflect an appreciation that NVMe, as a logical device interface, is able to support low latency and internal parallelism for solid state storage devices, which can reduce Input/Output (I/O) overhead while providing other known performance improvements.
214 216 214 218 218 220 In various embodiments, the SPI Flashmemory may be implemented to receive, store, manage, and provide access to one or more Basic Input/Output System (BIOS) components ‘A’. As used herein, a BIOS component broadly refers to one or more discrete portions of firmware program code that may be used, directly or indirectly, by a BIOS during its operation. In various embodiments, the SPI Flashmemory may be implemented to include certain NVRAMmemory. In various embodiments, the NVRAMmemory may in turn be implemented to receive, store, manage, and provide access to one or more BIOS variables ‘A’, such as configuration settings, for use by the BIOS of an associated IHS.
222 224 224 118 224 226 222 224 222 226 In various embodiments, the NVMememory may be implemented to include a boot partition (BP). Those of skill in the art will be familiar with the concept of a BP, which in common usage broadly refers to a primary memory partition that contains a boot loader, which is a portion of program code responsible for booting the OSof an associated IHS. In various embodiments, the BPmay in turn be implemented to receive, store, manage, and provide access to one or more BIOS components ‘B’. In various embodiments, the NVMememory may be implemented without a BP. Nonetheless, the NVMememory may be implemented in certain of these embodiments to still receive, store, manage, and provide access to one or more BIOS components ‘B’.
212 228 228 228 230 In various embodiments, the I/O interfacemay be implemented to interact with a complementary metal-oxide semiconductor (CMOS)chip. In various embodiments, the CMOSchip may be implemented to include a real-time clock and RAM memory that is backed-up by a battery. In various embodiments, the memory in the CMOSchip may be implemented to receive, store, manage, and provide access to one or more BIOS variables ‘B’.
212 232 234 232 140 140 250 In various embodiments, the I/O interfacemay likewise be implemented to interact with a network interface, or additional resources. or both. In various embodiments, the network interfacemay be implemented to provide access and connectivity to a network. In turn, the networkmay be implemented in various embodiments to provide access and connectivity to a cloud computing environment (CCE). Skilled practitioners of the art will be familiar with cloud computing, which is defined by the National Institute of Standards and Technology (NIST) as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, portions of program code, firmware components, data, services, and so forth) that can be rapidly provisioned and released with minimal management effort or service provider interaction.
234 234 236 238 240 242 In various embodiments, additional resourcesmay include a data storage system, additional graphics interfaces, a network interface card (NIC), a sound or video processing card, and so forth. In various embodiments, additional resourcesmay be implemented on a main circuit board of an IHS, or a separate circuit board or add-in card thereof, or a device that is external to the IHS, or a combination thereof. In various embodiments, the disk controllermay be implemented to interact with, and manage access to and from, an optical disk drive (ODD), a hard disk drive (HDD), or a solid state drive (SSD), or a combination thereof.
242 242 244 112 204 206 208 210 260 262 214 222 212 228 232 234 236 238 240 242 244 246 114 In various embodiments, the graphics interfacemay be implemented to present visual content on an associated video display. In certain of these embodiments, the graphics interfacemay likewise be implemented to receive user gesture input from the video display, such as through the use of a touch-sensitive screen. In various embodiments, the system memory, the chipset, one or more processors ‘1’through ‘n’, the EC, the TPM, the PCH, the SPI Flashmemory, the NVMememory, the I/O interface, the CMOSchip, the network interface, the additional resources, the disk controller, the ODD, the HDD, the SSD, the graphics interface, and the video displaymay be implemented to provide and receive data to and from one another via one or more buses.
200 216 226 220 230 216 226 220 230 216 226 220 230 In various embodiments, a firmware management operation may be implemented to include a distributed firmware management operation. As used herein, a distributed firmware management operation broadly refers to a firmware management operation, described in greater detail herein, performed directly, or indirectly, within a multi-processor operating environmentto store, retrieve, aggregate, disaggregate, add, delete, modify, revise, update, replace, or restore one or more BIOS components ‘A’or ‘B’, or one or more BIOS variables ‘A’or ‘B’, or a combination thereof. In various embodiments, one or more BIOS components ‘A’or ‘B’, or one or more BIOS variables ‘A’or ‘B’, or a combination thereof, may be used, individually or in combination with one another, in the performance of a distributed firmware management operation. In various embodiments, performance of the distributed firmware management operation effectively decouples (i.e., minimizes the interrelationship between) one or more BIOS components ‘A’or ‘B’, or one or more BIOS variables ‘A’or ‘B’, or a combination thereof, from each other. In various embodiments, the performance of the distributed firmware management operation effectively decouples PE BIOS components from other platform BIOS components, as described herein.
216 226 200 216 226 250 250 200 216 218 226 222 In various embodiments, individual BIOS components ‘A’or ‘B’used in the performance of one or more distributed firmware management operations may be located within, or outside of, the multi-processor operating environment. As an example, a particular BIOS component ‘A’or ‘B’may initially be stored within a cloud computing environment (CCE), described in greater detail herein. In this example, the firmware component may be retrieved from the CCEby the multi-processor operating environmentand then respectively stored as firmware components ‘A’in NVRAM, or ‘B’in NVMememory, or a combination of the two.
3 FIG. 300 300 shows a simplified block diagram of an architecture-specific distributed firmware management platform implemented in accordance with an embodiment of the invention. In various embodiments, the architecture-specific distributed firmware management platform (ASDFMP), and its associated operation, may be implemented to accommodate architecture-specific aspects of a particular information handling system (IHS), described in greater detail herein. As an example, various IHS's may utilize different processors (e.g., Intel®, AMD®, Qualcom®, Broadcom®, NVidia®, and so forth), and as a result, may require the use of a Basic Input/Output System (BIOS) specific to their respective architecture, or associated operating system (OS), or both, at boot time. In various embodiments, the ASDFMPmay be implemented to perform one or more firmware management operations, described in greater detail herein.
300 302 302 210 260 262 214 222 228 302 324 332 In various embodiments, the ASDFMPmay be implemented to include a platform architecture. In certain of these embodiments, the platform architecturemay be implemented to include an embedded controller (EC), a Trusted Platform Module (TPM), a Platform Controller Hub (PCH), Serial Peripheral Interface (SPI) Flashmemory, Nonvolatile Memory Express (NVMe)memory, and a complementary metal-oxide-semiconductor (CMOS)chip, or a combination thereof, each of which may be considered a component of an information handling system (IHS), as described in greater detail herein. In various embodiments, the platform architecturemay likewise be implemented to include one or more dual in-line memory modules (DIMMs), and certain hard disk drive (HDD) memory, or solid state drive (SSD) memory, or a combination of the two.
210 300 210 300 In various embodiments, the ECmay be implemented, directly or indirectly, within the ASDFMPto provide a root of trust function. As used herein, a root of trust broadly refers to a highly reliable component, such as an EC, that performs specific, important security functions. In various embodiments, a root of trust component may be implemented as a building block upon which other components of the ASDFMPcan derive security functions.
210 300 300 300 In various embodiments, the ECmay be implemented to perform a root of trust operation. As used herein, a root of trust operation broadly refers to a distributed firmware management operation, described in greater detail herein, performed directly, or indirectly, within an ASFDMPto provide a root of trust by leveraging a secure interface to ensure integrity and security of communication between certain components of the ASDFMP. In various embodiments, one or more root of trust operations may be performed to enhance the security and trustworthiness of the ASDFMP.
260 300 260 300 260 210 Skilled practitioners of the art will be familiar with a TPM, which is an international standard for a secure crypto processor, typically implemented as a dedicated microcontroller designed to secure various hardware components of an ASDFMPthrough the use of integrated cryptographic keys. In various embodiments, a TPMmay be implemented to increase the security of an ASDFMPand to protect it against certain firmware attacks. In various embodiments, a TPMmay be implemented in combination with an ECto perform a root of trust operation.
262 262 300 262 Those of skill in the art will likewise be familiar with a PCH, which broadly refers to a family of chipsets manufactured by Intel® to control certain data paths and support functions used in conjunction with Intel® processors. However, as used herein, a PCHmay broadly refer to one or more processor-agnostic functionalities of an ASDFMPthat may be used, directly or indirectly within it, to control various data paths and support functions associated with a particular processor. Examples of such processors include those manufactured by Intel®, AMD®, Qualcomm®, Broadcom®, NVidia®, and so forth. Accordingly, various embodiments of the invention reflect an appreciation that provision of such PCHfunctionalities may require a different implementation for each processor architecture.
214 216 214 218 218 220 In various embodiments, the SPI Flashmemory may be implemented to receive, store, manage, and provide access to one or more BIOS components ‘A’, as described in greater detail herein. In various embodiments, the SPI Flashmemory may likewise be implemented to include certain NVRAMmemory. In various embodiments, the NVRAMmemory may in turn be implemented to receive, store, manage, and provide access to one or more BIOS variables ‘A’, as described in greater detail herein.
222 224 224 226 222 224 222 226 228 230 In various embodiments, the NVMememory may be implemented to include a boot partition (BP), described in greater detail herein. In various embodiments, the BPmay in turn be implemented to receive, store, and provide access to, one or more BIOS components ‘B’. In various embodiments, the NVMememory may be implemented without a BP. Nonetheless, the NVMememory may be implemented in certain of these embodiments to still receive, store, manage, and provide access to one or more BIOS components ‘B’. In various embodiments, as likewise described in greater detail herein, the CMOSchip may be implemented to receive, store, and provide access to, one or more BIOS variables ‘B’.
324 324 326 328 328 330 324 In various embodiments, the one or more DIMMsmay be implemented to include one or more RAM modules mounted onto an integrated circuit board. In various embodiments, the one or more DIMMsmay be partitioned into a low region of memory, such as from 1 megabyte (MB)to 1 gigabyte (GB), and a high region of memory, such as from 1 GBto 4 GB. In these embodiments, the amount of memory allocated to the low and high memory regions, the memory addresses within the one or more DIMMswhere such allocation may occur, and how such allocation may be performed, is a matter of design choice.
332 334 334 332 334 334 In various embodiments, the HDD/SDD memorymay be implemented to include an extensible firmware interface (EFI) system partition (ESP). Skilled practitioners of the art will be familiar with an ESP, which is usually implemented as a partition on a mass storage device, such as HDD/SSD memory, which in turn is used by an associated IHS implemented with a Unified Extensible Firmware Interface (UEFI), described in greater detail herein. In such implementations, the UEFI loads files stored within the ESPto begin installing Operating System (OS) and associated utility files. In various embodiments, the ESPmay be implemented to contain the boot loaders, or kernel images, for all installed OS's that may be contained in other memory partitions, device driver files for hardware devices present in its associated IHS and used by the firmware at boot time, system utility programs that are intended to be run before a particular OS is booted, and data files such as error logs.
300 304 310 304 306 308 304 310 302 In various embodiments, the ASDFMPmay be implemented to include an OS runtime phase, and various pre-boot phases, all of which are described in greater detail herein. In various embodiments, the OS runtime phasemay be implemented to include a user modeand a kernel mode, both of which are likewise described in greater detail herein. In various embodiments, certain components, processes, or operations, or a combination thereof, respectively associated with the OS runtime phaseand the pre-boot phases, may be implemented to interact with various components of the platform architecture, as likewise described in greater detail herein.
4 4 a c FIGS.through 300 304 310 302 302 210 214 228 302 324 332 are a simplified block diagram showing an architecture-specific distributed firmware management platform (ASDFMP) implemented in accordance with an embodiment of the invention to perform certain distributed firmware management operations. In certain embodiments, the ASDFMPmay be implemented to include an Operating System (OS) runtime phase, various pre-boot phases, and a platform architecture. In various embodiments, as described in greater detail herein, the platform architecturemay be implemented to include an embedded controller (EC), Serial Peripheral Interface (SPI) Flashmemory, and a complementary metal-oxide-semiconductor (CMOS)chip, or a combination thereof. In various embodiments, the platform architecturemay likewise be implemented to include one or more dual in-line memory modules (DIMMs), and certain hard disk drive (HDD) memory, or solid state drive (SSD) memory, or a combination of the two.
214 216 214 218 218 220 In various embodiments, the SPI Flashmemory may be implemented to receive, store, manage, and provide access to one or more Basic Input/Output System (BIOS) components ‘A’, described in greater detail herein. In various embodiments, the SPI Flashmemory may likewise be implemented to include certain NVRAMmemory, likewise described in greater detail herein. In various embodiments, the NVRAMmemory may in turn be implemented to receive, store, manage, and provide access to one or more BIOS variables ‘A’, as described in greater detail herein.
304 306 308 306 308 402 306 308 In various embodiments, the OS runtime phasemay be implemented to include a user modeand a kernel mode. Skilled practitioners of the art will be aware that user modegenerally refers to a restricted mode that limits software access to system resources, while kernel modegenerally refers to a privileged mode that allows software to access system resources and perform privileged operations. In various embodiments, an Input/Output Control (IOCTL)operation, familiar to those of skill in the art, may be performed to switch between user modeand kernel mode. Those of skill in the art will likewise be aware that such mode switching generally involves saving the current context of an associated information handling system's (IHS's) processor in memory, switching to the new mode, and loading the new context into the processor.
4 a FIG. 300 412 1 462 412 2 464 412 414 3 466 416 Referring now to, a distributed firmware management operation may be initiated by the ASDFMPreceiving a BIOS.exefile in runtime (RT) step ‘’. In various embodiments, the BIOS.exefile may be implemented as the combination of a flash memory utility and a payload of firmware components, described in greater detail herein. Then, in RT step ‘’the BIOS.exeis executed to decompressits payload, which is then converted in RT step ‘’into a payload file system (PFS).
418 416 4 468 420 5 470 422 422 324 326 328 424 7 230 328 426 8 476 Flash memory packetsare then extracted from the PFSif RT step ‘’and provided to a memory driverin RT step ‘’to create a memory payload. The resulting memory payloadis then loaded into a lower memory region of one or more DIMMs, such as between 1 megabyte (MB)and 1 gigabyte (GB). Thereafter, a Remote BIOS Update (RBU)operation may be performed in RT step ‘’ to update certain BIOS variables ‘B’stored in the CMOSchip. An OS rebootoperation is then performed in RT step ‘’.
426 8 476 432 300 1 432 210 2 464 404 3 486 404 3 486 228 Once the OS rebootoperation has been performed in RT step ‘’, power is appliedto the ASDFMPin pre-boot time (BT) step ‘’. An embedded controller (EC)is then invoked in BT step ‘’which results in the activation of a boot modein BT step ‘’. In various embodiments, the boot modemay be activated in BT step ‘’by retrieving, and using, certain BIOS variables ‘B’ stored in the CMOSchip.
434 4 488 436 5 490 434 434 One or more security (SEC)phase operations may then be performed in BT step ‘’, followed by the performance of one or more Pre Extensible Firmware Interface (EFI) Initialization (PEI)phase operations in BT step ‘’. In various embodiments, the one or more SECphase operations may be implemented to secure the boot process by preventing the loading of Unified Extensible Firmware Interface (UEFI) drivers, or boot loaders, that are not signed with an acceptable digital signature. In various embodiments, a trusted platform module (TPM), familiar to skilled practitioners of the art, may be used in the performance of one or more SECphase operations.
436 436 5 490 438 6 472 440 Those of skill in the art will likewise be aware that PEIphase operations are generally performed to initialize permanent memory within a particular IHS to load and invoke initial configuration routines specific to its associated processor environment (PE), described in greater detail herein. In various embodiments, performance of the PEIphase operation in BT step ‘’may include one or more packet coalescingoperations being performed to coalesce individual flash memory packets previously stored in a low memory region of one or more DIMMs in RT step ‘’. In various embodiments, the individual flash memory packets may then be stored as one or more coalesced flash memory packets.
442 6 492 446 440 214 442 444 444 444 446 216 220 216 220 In various embodiments, a firmware management protocol (FMP) may be used in the performance of a Driver eXecution Environment (DXE)phase operation in BT step’to perform an SPI writeoperation to write the coalesced flash memory packetsto SPI Flashmemory. Skilled practitioners of the art will be familiar with a DXE, which as typically implemented includes a DXE Core, a DXE Dispatcher, and one or more Firmware Management Protocol (FMP) drivers. In general, the DXE Core component is responsible for producing a set of boot services, DXE services, and RT Services. Likewise, the DXE Dispatcher component is responsible for discovering and executing FMP driversin the correct order. In turn, the FMP driversare responsible for initializing the IHS's processor environment (PE), described in greater detail herein. In various embodiments, the SPI writeoperation may be performed to write certain flash memory packets associated with certain BIOS components ‘A’, or certain BIOS variables ‘A’, or a combination of the two. In various embodiments, the flash memory packets may contain new, updated, modified, revised, or replacement BIOS components ‘A’, or BIOS variables ‘a’, or a combination of the two.
448 442 220 218 214 448 334 442 6 494 450 7 494 452 452 8 496 300 454 In various embodiments, a BIOS monitor, such as BIOS IQ, produced by Dell® Incorporated, of Round Rock, Texas, may be implemented within the DXEphase to monitor the current values of certain BIOS variables ‘A’stored in NVRAM, which in certain embodiments, may be implemented within SPI Flashmemory. In various embodiments, the BIOS monitormay likewise be implemented to monitor the status of certain data stored in the ESP, described in greater detail herein. Once DXEphase operations are completed in BT step ‘’, the OS is then booted. In various embodiments, a boot device selection (BDS)phase operation is then performed in BT step ‘’to select a boot device. In various embodiments, a management engine (ME), such as the MEproduced by Intel® Corporation of Santa Clara, California, may be implemented to use the selected boot device in BT step ‘’to boot the ASDFMPinto an OS runtimestate.
5 FIG. is a simplified block diagram of Authenticated Basic Input/Output System (BIOS) Interface (ABI) services implemented within a cloud computing environment in accordance with an embodiment of the invention. Various embodiments of the invention reflect an appreciation that running learning models on client devices has become more common as artificial intelligence (AI) evolves. Likewise, various embodiments of the invention reflect an appreciation that large learning models (LLMs) have traditionally been deployed on powerful server infrastructures due to their extensive computational requirements.
However, various embodiments of the invention reflect an appreciation that deploying LLMs on client devices may provide certain advantages, such as a more personalized user experience, faster remediation, more immediate support, more robust data privacy, and so forth. Accordingly, an AI-capable intelligent Basic Input/Output System (BIOS), incorporating advanced algorithms and machine learning capabilities to enhance its functionality, may be implemented in various embodiments. In various embodiments, this intelligent BIOS may be implemented to autonomously detect, diagnose, and remediate issues without human intervention and provide adaptive performance and predictive maintenance.
Likewise, an eXtensible Host Controller Interface (XHCI), described in greater detail herein, may be implemented in various embodiments to improve system speed, power efficiency, and virtualization. Various embodiments of the invention likewise reflect an appreciation that typical storage capacities of portable devices have been increasing over time, with a concomitant need for high performance interfaces so they can be loaded in a reasonable amount of time. Accordingly, the implementation of an xHCI in various embodiments may reduce, or even eliminate, host memory-based transaction schedules, while its support for advanced power management features may likewise provide more power efficient platforms without sacrificing performance.
210 In various embodiments, the enablement of certain xHCI virtualization features may likewise allow direct assignment of individual Universal Serial Bus (USB) devices to any virtual machine (VM), irrespective of their location within a particular bus topology, to minimize run-time inter-VM communications, and provide support for native USB device sharing, or a combination thereof. Likewise, the implementation of an AI-capable intelligent BIOS in various embodiments may enable support of heterogeneous System on Chip (SoC) vendors, such as Intel®, AMD®, Qualcomm®, NVIDIA®, and so forth. The implementation of an AI-capable intelligent BIOS in various embodiments may likewise enable seamless interdependent updates services for a system's operating system (OS) and firmware. Likewise, the implementation of an intelligent cache in various embodiments may allow one or more Graphics Processing Units (GPUs), Neural Processing Units (NPUs), Accelerated Processing Units (APUs), or a combination thereof, to be leveraged to process AI workloads while supporting host embedded controller (EC)side-band interrupts.
5 FIG. 502 304 502 504 506 250 504 506 508 Referring now to, a runtime ABI protocol (RTAP)may be implemented in various embodiments during a system's OS runtime phase. In various embodiments, the RTAPmay be implemented to initiate an RTAP cloud command (CMD)to access certain ABI services, which in certain embodiments may be implemented within a cloud computing environment (CCE), described in greater detail herein. In various embodiments, initiation of the RTAP cloud CMDmay result in certain ABI servicesinitiating an ABI CMDin response.
508 510 502 506 510 502 506 510 506 512 502 In various embodiments, initiation of the ABI CMDmay result in establishing a secure sessionbetween the RTAPand the ABI services. In various embodiments, the Transport Layer Security (TLS) protocol, familiar to skilled practitioners of the art, may be used to establish the secure sessionbetween the RTAPand the ABI services. In various embodiments, the secure sessionmay be implemented to allow the ABI servicesto provide an ABI trusted capsuleto the RTAP.
502 512 514 502 516 502 518 In various embodiments, the RTAPmay be implemented to load the ABI trusted capsuleinto system memory as an in-memory capsule. In various embodiments, the RTAPmay likewise be implemented to perform certain capsule trust measurements. Likewise, the RTAPmay be implemented in various embodiments to generate a digitally-signed capsule payload.
502 518 520 310 520 522 524 522 260 210 526 524 In various embodiments, the RTAPmay be implemented to use the contents of the digitally-signed capsule payloadto create certain boot time servicesfor use during various pre-boot phases. In various embodiments, the boot time servicesmay include a boot time ABI serviceand one or more boot time dynamic driver services. In various embodiments, the boot time ABI servicemay be implemented to perform certain Trusted Platform Module (TPM)and Embedded Controller (EC)comparisons and measurementsagainst the system's Platform Configuration Register (PCR). In various embodiments the one or more boot time dynamic driver servicesmay be implemented to provide various functionalities, such as performing a dispatch by overriding any existing driver, initiating one or more automation drivers, initiating one or more error injections, performing one or more variable overrides, performing one or more modular updates, and so forth.
6 6 a b FIGS.and 304 200 are a simplified block diagram showing the performance of certain Central Processing Unit (CPU) offload management operations implemented in accordance with an embodiment of the invention. In various embodiments, a learning-based Firmware Virtual Interpolation Protocol (FVIP) may be implemented to detect signal types in the boot path and dynamically generate an array of CPU-offloaded eXtensible Host Controller Interface (XHCI) virtual ports by intelligently decoupling CPU and third party device code to facilitate ensuring CPU-independent seamless offload operations at Operating System (OS) runtime. As used herein, a Firmware Virtual Interpolation Protocol broadly refers to a set of rules for formatting and processing data associated with performance of a Firmware Virtual Interpolation operation, described in greater detail herein. As used herein, a Firmware Virtual Interpolation operation broadly refers to firmware management operation, described in greater detail herein, performed directly, or indirectly, within a multi-processor operating environmentto detect signal types in the boot path and dynamically generate an array of CPU-offloaded virtual ports by intelligently decoupling CPU and third party device code.
202 In various embodiments, one or more Smart Timer Events (STE) may be implemented to manage a processor environmentagnostic Forward/Backward Propagation Node (FBPN). In various embodiments, the FBPN may be implemented in combination with a Graphics Processing Unit (GPU), a Neural Processing Unit (NPU), or an Accelerated Processing Unit (APU), or a combination thereof, to facilitate the availability of certain Universal Serial Bus Type C (USB-C) functionalities and device port enumeration events. In various embodiments, such USB-C availability may be facilitated by avoiding certain system conditions, such as CPU busy, crashes, hangs, and so forth. In various embodiments, one or more high performance GPU. NPU/APU accelerators may be implemented to use a Firmware Virtual Tune (FVT) learning model to identify efficient GPU offload opportunities, quantify potential performance improvements, and possible power efficiencies.
630 304 202 436 616 630 In various embodiments, one or more COM operations may be performed to detect signal types in the boot path and dynamically generate an array of CPU-offloaded eXtensible Host Controller Interface (XHCI) virtual portsby intelligently decoupling CPU and third-party device party code to facilitate CPU-independent, seamless, offload operations at a system's OS runtime phase. In various embodiments, one or more COM operations may be performed to initialize a processor environmentagnostic Offload Compute Node (OCN) early in a system's Pre Extensible Firmware Interface (PEI)pre-boot phase and move it to a ready state to dynamically accept any Audio Digital Signal Processor (ADSP) related COM operations during CPU busy states. In various embodiments, one or more COM operations may be performed to initialize a CPU Busy State handler with virtual ports mapping to other core processors, such as ADSP, and establish controller firmware module links early in the PEI phase. In various embodiments, one or more COM operations may be performed to use a firmware protocol to implement a Virtual Interpolation Protocol (VIP) by detectingsignal types in the boot path to generate an array of virtual portsfor ADSP-based devices, to facilitate seamless offload operations.
650 648 304 In various embodiments, one or more COM operations may be performed to use a Firmware Virtual Tune (FVT) learning model to identify efficient CPU offload opportunities, quantify potential performance improvements, and possible power efficiencies. In various embodiments, one or more COM operations may be performed to use a video frame (V-Frame) Synchronize module to dynamically detect frame buffer size issues and synchronize the size of BIOS Memory-Mapped Input/Output (MMIO) memory regionfor seamless audio/video (AV) streaming issues. In various embodiments, one or more COM operations may be performed to use a Virtual Interpolation Firmware (VIFW) module to detectAV device signals based upon device and function type and monitor the V-Frame buffer size. In various embodiments, one or more COM operations may be performed to use firmware logic to identify when a V-Frame buffer needs to be adjusted with Embedded Controller (EC), BIOS, or MMIO memory region size modifications at the system's runtime phase.
6 6 a b FIGS.and 300 300 Referring now to, an architecture-specific distributed firmware management platform (ASDFMP), and its associated operation, may be implemented to accommodate architecture-specific aspects of a particular information handling system (IHS), described in greater detail herein. As an example, various IHS's may utilize different processors (e.g., Intel®, AMD®, Qualcom®, Broadcom®, NVidia®, and so forth), individually or in combination with one another, and as a result, may require the use of a Basic Input/Output System (BIOS) specific to their respective architecture, or associated operating system (OS), or both, at boot time. In various embodiments, the ASDFMPmay be implemented to perform one or more COM operations, likewise described in greater detail herein.
300 304 310 310 436 442 450 1 604 602 In various embodiments, the ASDFMPmay be implemented to include an OS runtime phase, and various pre-boot phases. In various embodiments, the pre-boot phasesmay include the performance of one or more security Pre-Extensible Firmware Interface (EFI) Initialization (PEI)phase operations, one or more Driver eXecution Environment (DXE)phase operations, and one or more boot device selection (BDS)phase operations. In various embodiments, one or more COM operations, may be performed in step ‘’, to initialize a CPU busy state handler modulefor use in subsequent COM operations.
300 606 608 610 612 606 608 610 612 606 608 610 612 In various embodiments, the ASDFMPmay be implemented to include one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’. In various embodiments, the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’may be implemented with a USB interface. In certain of these embodiments, the USB interface of one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’may be respectively associated with a physical port, familiar to skilled practitioners of the art.
3 614 606 608 610 612 3 606 608 610 612 620 4 618 622 624 626 628 606 608 610 612 In various embodiments, one or more COM operations may be performed in step ‘’to determine physical ports respectively associated with the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’. In various embodiments, one or more COM operations may be performed in step ‘’ to respectively detect the device type, function, and signal type utilized by each of the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’. In various embodiments, certain virtual interpolation firmware logicmay be used in the performance of one or more COM operations in step ‘’to create device virtual port objects ‘1’, ‘2’and ‘3’through ‘n’respectively corresponding to peripheral devices ‘1’, ‘2’and ‘3’through ‘n’.
630 5 634 622 624 626 628 300 6 638 622 624 626 628 300 636 300 636 7 640 622 624 626 628 300 8 644 622 624 626 628 642 In various embodiments, certain virtual portinformation may be used in the performance of one or more COM operations in step ‘’to enumerate device virtual port objects ‘1’, ‘2’and ‘3’through ‘n’in the boot path of the ASDFMP. In various embodiments, one or more COM operations may be performed in step ‘’to expose virtual port objects ‘1’, ‘2’and ‘3’through ‘n’in the boot path of the ASDFMPto its OS interface. In various embodiments, the ASDFMP'sOS interfacemay be used in the performance of one or more COM operations in step ‘’to hand off certain information associated with the exposed virtual port objects ‘1’, ‘2’and ‘3’through ‘n’in the boot path of the ASDFMPto its OS. In various embodiments, one or more COM operations may be performed in step ‘’to map the exposed virtual port objects ‘1’, ‘2’and ‘3’through ‘n’to one or more associated OS applications.
646 648 646 652 300 650 620 9 654 202 In various embodiments, a video frame (V-Frame) synchronization modulemay be used in the performance of one or more COM operations in step ‘A’to detect one or more V-Buffer size issues. In various embodiments, the V-Frame synchronization modulemay likewise be used in the performance of one or more COM operations in step ‘B’to manage the size of the ASDFMP'sEC MMIO region,, described in greater detail herein. In various embodiments, the virtual interpolation firmware logicmay be used in the performance of one or more COM operations in step ‘’to provide the processor environmentwith one or more device function calls associated with the detection a CPU busy state.
10 656 602 602 658 658 662 664 In various embodiments, one or more COM operations may be performed in step ‘’to provide certain device function call information associated with the detection of a CPU busy state to the CPU busy state handler module. In various embodiments, the CPU busy state handler modulemay be used in the performance of one or more COM operations to provide certain device function call information it may receive that is associated with the detection a CPU busy state to one or more controllers. In various embodiments, the one or more controllersmay be implemented to interact with an Audio Digital Signal (ADSP) firmware link module, or a USB firmware link module, or both.
658 11 660 630 202 202 12 668 670 670 632 202 In various embodiments, the one or more controllersmay be used in the performance of one or more COM operations in step ‘’to virtual portsto other processors in the processor environment. In various embodiments, use the processor environmentin the performance of one or more COM operations in step ‘’to provide certain associated GPU/NPU/APU utilization and availability information to a delay re-time processor. In various embodiments, the delay re-timer processormay be used in the performance of one or more COM operations to determine which boot path enumerated virtual portsare available for association with a particular GPU, NPU, or APU implemented within the processor environment. Those of skill in the art will recognize that many such embodiments are possible. Accordingly, the foregoing is not intended to limit the spirit, scope, or intent of the invention.
7 FIG. 202 732 736 738 740 is a simplified block diagram of the operation of a firmware virtual interpolation protocol implemented in accordance with an embodiment of the invention. In various embodiments, an architecture-specific distributed firmware management platform (ASDFMP), described in greater detail herein, may be implemented to include a processor environment, likewise described in greater detail herein. In various embodiments, the processor environmentmay be implemented to include one or Central Processing Units (CPUs), one or more Graphics Processing Units (GPUs), one or more Neural Processing Units (NPUs), one or more Accelerated Processing Units (APUs), or a combination thereof.
606 608 610 612 702 606 608 610 612 606 608 610 612 In various embodiments, the ASDFMP may be implemented to include one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’, as described in greater detail herein. In various embodiments, one or more CPU offload management (COM) operations, likewise described in greater detail herein, may be performed to determinephysical ports respectively associated with the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’. In various embodiments, one or more COM operations may likewise be performed to respectively detect the device type, function, and signal type utilized by each of the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’.
606 608 610 612 706 706 718 724 728 742 718 606 608 610 612 In various embodiments, one or more COM operations may be performed to provide certain information associated with the device type, function, and signal type utilized by each of the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’to a CPU offload learning model. In various embodiments, the CPU offload learning modelmay be implemented to include a device type and functionmodule, a boot path virtual port enumerationmodule, a device offloadmodule, and a device inputmodule. In various embodiments, the device type and functionmodule may be used in the performance of one or more COM operations to receive certain information associated with the device type, function, and signal type utilized by each of the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’.
718 720 622 624 626 628 606 608 610 612 718 710 712 714 716 622 624 626 628 710 712 714 716 622 624 626 628 724 622 624 626 628 In various embodiments, the device type and functionmodule may be used in the performance of one or more COM operations to createdevice virtual port objects ‘1’, ‘2’and ‘3’through ‘n’respectively corresponding to the one or more peripheral devices ‘1’, ‘2’and ‘3’through ‘n’. In various embodiments, the device type and functionmodule may likewise be used in the performance of one or more COM operations to create interface layers ‘1’, ‘2’, and ‘3’through ‘n’respectively corresponding to device virtual port objects ‘1’, ‘2’and ‘3’through ‘n’. In various embodiments, the interface layers ‘1’, ‘2’, and ‘3’through ‘n’may be used in the performance of one or more COM operations to provide and retrieve certain information respectively corresponding to device virtual port objects ‘1’, ‘2’and ‘3’through ‘n’. In various embodiments, the boot path virtual port enumerationmodule may be used in the performance of one or more COM operations to enumerate virtual port objects ‘1’, ‘2’and ‘3’through ‘n’.
710 712 714 716 622 624 626 628 728 728 622 624 626 628 730 730 734 732 736 738 740 In various embodiments, the interface layers ‘1’, ‘2’, and ‘3’through ‘n’may be used in the performance of one or more COM operations to provide certain information respectively corresponding to device virtual port objects ‘1’, ‘2’and ‘3’through ‘n’to the device offloadmodule. In various embodiments, the device offloadmodule may be used in the performance of one or more COM operations to provide certain information associated with device virtual port objects ‘1’, ‘2’and ‘3’through ‘n’tp a queue busy state handlermodule. In various embodiments, the busy state handlermodule may be used in the performance of one or more COM operations to use the device virtual port object information it may receive to offloadcertain operations from a particular CPUto an alternative processor, such as a particular GPU, or a particular NPU, or a particular APU.
732 742 742 732 710 712 714 716 708 732 736 738 740 722 726 742 728 In various embodiments, the CPUmay be used in one or more COM operations to provide certain CPU offload information to the device inputmodule. In turn, the device inputmodule may be used in the performance of one or more COM operations to provide certain CPU offload information it may receive from the CPUto interface layers ‘1’, ‘2’, and ‘3’through ‘n’. Accordingly, the CPU offload learning modelmay be implemented in various embodiments to learn the offloading of certain operations from a CPUto an alternative processor, such as a particular GPU, or a particular NPU, or a particular APU, through both forwardand backwardpropagation of operations between the device inputmodule and the device outputmodule.
8 FIG. 804 is a simplified block diagram of a Central Processing Unit (CPU) offload learning model implemented in accordance with an embodiment of the invention. In various embodiments, one or more CPU Offload Management (COM) operations, described in greater detail herein, may be performed to use one or more Smart Timer Events (STEs)in combination with a Graphics Processing Unit (GPU), a Neural Processing Unit (NPU), or an Accelerated Processing Unit (APU), or a combination thereof, to facilitate the availability of certain Universal Serial Bus Type C (USB-C) functionalities and device port enumeration events. In various embodiments, such USB-C availability may be facilitated by avoiding certain system conditions, such as CPU busy, crashes, hangs, and so forth.
In various embodiments, one or more COM operations may be performed to detect a device signal at runtime, as described in greater detail herein. In certain of these embodiments, one or more COM operations may likewise be performed to use interpolation logic to detect the signal type based upon device function and type, and then create a virtual port mapping. In various embodiments, one or more COM operations may be performed to use a boot path virtual port enumeration module to create device objects based upon their signal type.
8 FIG. 802 804 806 818 802 810 812 814 816 820 818 802 810 812 814 816 Referring now to, one or more COM operations may be performed in various embodiments to use certain peripheral device input informationin combination with certain smart timer eventinformation to generate a GPU/NPU/APU boot path for eXtensible Host Controller Interface (XHCI) enumeration. In various embodiments, one or more COM operations may be performed to apply per-layer weightsto generate a weighted output value ‘Y’ from a device inputvalue ‘X’ respectively corresponding to port object interface layers ‘1’, ‘2’, through ‘n−1’and ‘n’, described in greater detail herein. In various embodiments, a forward propagation value associated with forward propagationmay be calculated by the application of per-layer weightsto generate a weighted output value ‘Y’ from a device inputvalue ‘X’ respectively corresponding to port object interface layers ‘1’, ‘2’, through ‘n−1’and ‘n’.
824 818 802 824 824 830 810 812 814 816 828 826 810 812 814 816 In various embodiments, an error computationmodule may be used in the performance of one or more COM operations to compute possible errors resulting from the application of individual per-layer weightsto generate a weighted output value ‘Y’ from a device inputvalue ‘X’. In various embodiments, certain information associated with errors computed by the error computationmodule may be used in the performance of one or more COM operations to produce a derivative input value dX and derivative output value dY respectively corresponding to input value X and output value Y. In various embodiments, the error computationmodule may be used in the performance of one or more COM operations to generate certain event learning datafrom the input value X, its associated derivative input value dX, the weighted output value Y, and its associated derivative output value dY respectively corresponding to port object interface layers ‘1’, ‘2’, through ‘n−1’and ‘n’. In various embodiments, a backward propagation value associated with backward propagationmay be calculated by the application of per-layer derivative of weightsto generate a weighted derivative input value ‘dX’ from a weighted derivative output value ‘dY’ respectively corresponding to port object interface layers ‘1’, ‘2’, through ‘n−1’and ‘n’.
830 832 832 834 834 810 812 814 816 In various embodiments, the event learning datamay be used in the performance of one or more COM operations to generate a GPU/NPU/APU redundant boot path for XHCI enumeration. In various embodiments, the GPU/NPU/APU redundant boot path for XHCI enumerationmay be used in the performance of one or more COM operations to generate one or more learning data objects. In various embodiments, the one or more learning data objectsmay be used in the performance of one or more COM operations as input data to port object interface layers ‘1’, ‘2’, through ‘n−1’and ‘n’. Skilled practitioners of the art will recognize that many such embodiments are possible. Accordingly, the foregoing is not intended to limit the spirit, scope, or intent of the invention.
As will be appreciated by one skilled in the art, the present invention may be embodied as a method, system, or computer program product. Accordingly, embodiments of the invention may be implemented entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in an embodiment combining software and hardware. These various embodiments may all generally be referred to herein as a “circuit,” “module,” or “system.” Furthermore, the present invention may take the form of a computer program product on a computer-usable storage medium having computer-usable program code embodied in the medium.
Any suitable computer usable or computer readable medium may be utilized. The computer-usable or computer-readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, or a magnetic storage device. In the context of this document, a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
Computer program code for carrying out operations of the present invention may be written in an object oriented programming language such as Java, Smalltalk, C++ or the like. However, the computer program code for carrying out operations of the present invention may also be written in conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
Embodiments of the invention are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present invention is well adapted to attain the advantages mentioned as well as others inherent therein. While the present invention has been depicted, described, and is defined by reference to particular embodiments of the invention, such references do not imply a limitation on the invention, and no such limitation is to be inferred. The invention is capable of considerable modification, alteration, and equivalents in form and function, as will occur to those ordinarily skilled in the pertinent arts. The depicted and described embodiments are examples only, and are not exhaustive of the scope of the invention.
Consequently, the invention is intended to be limited only by the spirit and scope of the appended claims, giving full cognizance to equivalents in all respects.
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January 27, 2025
July 30, 2026
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